Cargando…
Real-time recursive hyperspectral sample and band processing: algorithm architecture and implementation
This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressiv...
Autor principal: | Chang, Chein-I |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2017
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-45171-8 http://cds.cern.ch/record/2262157 |
Ejemplares similares
-
Real-time progressive hyperspectral image processing: endmember finding and anomaly detection
por: Chang, Chein-I
Publicado: (2016) -
Hyperspectral data processing: algorithm design and analysis
por: Chang, Chein-I
Publicado: (2013) -
Heterogeneous reconfigurable processors for real-time baseband processing: from algorithm to architecture
por: Zhang, Chenxin, et al.
Publicado: (2016) -
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods
por: Bhatnagar, S, et al.
Publicado: (2013) -
Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance
por: Xu, Liyan, et al.
Publicado: (2017)